| Quantized convolutional neural networks for mobile devices J Wu, C Leng, Y Wang, Q Hu, J Cheng Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1536 | 2016 |
| Efficient test-time model adaptation without forgetting S Niu, J Wu, Y Zhang, Y Chen, S Zheng, P Zhao, M Tan International conference on machine learning, 16888-16905, 2022 | 327 | 2022 |
| Error compensated quantized SGD and its applications to large-scale distributed optimization J Wu, W Huang, J Huang, T Zhang International conference on machine learning, 5325-5333, 2018 | 283 | 2018 |
| Towards stable test-time adaptation in dynamic wild world S Niu, J Wu, Y Zhang, Z Wen, Y Chen, P Zhao, M Tan arXiv preprint arXiv:2302.12400, 2023 | 266 | 2023 |
| Fast and accurate image matching with cascade hashing for 3d reconstruction J Cheng, C Leng, J Wu, H Cui, H Lu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 208 | 2014 |
| Collaborative channel pruning for deep networks H Peng, J Wu, S Chen, J Huang International conference on machine learning, 5113-5122, 2019 | 195 | 2019 |
| Online sketching hashing C Leng, J Wu, J Cheng, X Bai, H Lu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 147 | 2015 |
| Quantized CNN: A unified approach to accelerate and compress convolutional networks J Cheng, J Wu, C Leng, Y Wang, Q Hu IEEE transactions on neural networks and learning systems 29 (10), 4730-4743, 2017 | 138 | 2017 |
| Fusing multi-modal features for gesture recognition J Wu, J Cheng, C Zhao, H Lu Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 87 | 2013 |
| DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery--A Focus on Affinity Prediction Problems with Noise Annotations Y Ji, L Zhang, J Wu, B Wu, LK Huang, T Xu, Y Rong, L Li, J Ren, D Xue, ... arXiv preprint arXiv:2201.09637, 2022 | 85 | 2022 |
| An efficient approach to informative feature extraction from multimodal data L Wang, J Wu, SL Huang, L Zheng, X Xu, L Zhang, J Huang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5281-5288, 2019 | 74 | 2019 |
| Rptq: Reorder-based post-training quantization for large language models Z Yuan, L Niu, J Liu, W Liu, X Wang, Y Shang, G Sun, Q Wu, J Wu, B Wu arXiv preprint arXiv:2304.01089, 2023 | 73 | 2023 |
| Few shot network compression via cross distillation H Bai, J Wu, I King, M Lyu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3203-3210, 2020 | 69 | 2020 |
| Double quantization for communication-efficient distributed optimization Y Yu, J Wu, L Huang Advances in neural information processing systems 32, 2019 | 65 | 2019 |
| Pseudo label based unsupervised deep discriminative hashing for image retrieval Q Hu, J Wu, J Cheng, L Wu, H Lu Proceedings of the 25th ACM international conference on Multimedia, 1584-1590, 2017 | 49 | 2017 |
| Self-supervised pre-training for protein embeddings using tertiary structures Y Guo, J Wu, H Ma, J Huang Proceedings of the AAAI conference on artificial intelligence 36 (6), 6801-6809, 2022 | 39 | 2022 |
| When homologous sequences meet structural decoys: Accurate contact prediction by tFold in CASP14—(tFold for CASP14 contact prediction) T Shen, J Wu, H Lan, L Zheng, J Pei, S Wang, W Liu, J Huang Proteins: Structure, Function, and Bioinformatics 89 (12), 1901-1910, 2021 | 38 | 2021 |
| Hashing for distributed data C Leng, J Wu, J Cheng, X Zhang, H Lu International Conference on Machine Learning, 1642-1650, 2015 | 37 | 2015 |
| M-nas: Meta neural architecture search J Wang, J Wu, H Bai, J Cheng Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6186-6193, 2020 | 32 | 2020 |
| Revisiting parameter sharing for automatic neural channel number search J Wang, H Bai, J Wu, X Shi, J Huang, I King, M Lyu, J Cheng Advances in Neural Information Processing Systems 33, 5991-6002, 2020 | 31 | 2020 |
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at Arlington在 uta.edu 的电子邮件经过验证
